4 citations · 4 across the 1 of their papers we have counts for
2 papers
cs.CV2021
Single-Training Collaborative Object Detectors Adaptive to Bandwidth and Computation
Juliano S. Assine, J. C. S. Santos Filho, Eduardo Valle
In the past few years, mobile deep-learning deployment progressed by leaps and bounds, but solutions still struggle to accommodate its severe and fluctuating operational restrictio…
cs.LG2019★ 4 cited
Compressing Representations for Embedded Deep Learning
Juliano S. Assine, Alan Godoy, Eduardo Valle
Despite recent advances in architectures for mobile devices, deep learning computational requirements remains prohibitive for most embedded devices. To address that issue, we envis…